Triple

T16099871
Position Surface form Disambiguated ID Type / Status
Subject Matewan E390586 entity
Predicate screenwriter P2831 FINISHED
Object John Sayles E536724 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Sayles | Statement: [Matewan, screenwriter, John Sayles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sayles
Context triple: [Matewan, screenwriter, John Sayles]
  • A. John Sayles chosen
    John Sayles is an American independent filmmaker, screenwriter, and novelist known for his socially conscious, character-driven films.
  • B. Philip Kaufman
    Philip Kaufman is an American film director and screenwriter known for works such as "The Right Stuff," "Invasion of the Body Snatchers" (1978), and "The Unbearable Lightness of Being."
  • C. Tony Bill
    Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
  • D. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • E. Alan Rudolph
    Alan Rudolph is an American film director and screenwriter known for his offbeat, character-driven dramas and romantic films, often blending ensemble casts with stylized, atmospheric storytelling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29f9f2881909b96860ee23d8ada completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.